Updated 7/20/16

MATH 095

BASIC MATH (1-5)

Designed for students who need to review basic math concepts such as whole number, fraction and decimal operations. Appropriate
placement test scores.

MATH 096

PRE-ALGEBRA (1-5)

Covers percents, proportions, unit conversions, geometry, simplifying algebraic expressions and solving simple first degree linear equations. Prerequisite: MATH 095 or equivalent.

MATH 097

ALGEBRA FOR STATISTICS (5)

An algebra course for students intending to enroll in MATH& 146, Introduction to Stats. This course does not meet the algebra prerequisite for other quantitative skills courses or for transfer to the University of Washington. Prerequisite: MATH 096 or Compass score of 78+.

MATH 098

Algebra I (1-5)

For students with good arithmetic skills and familiarity with signed numbers and basic algebraic expressions. Problem-solving skills are emphasized. Topics include: linear equations and inequalities, graphing, polynomials, and rational expressions. Prerequisite: MATH 096.

MATH 099

Algebra II (1-5)

Introduces the concept of functions, their graphs and properties. Particular attention will be paid to linear, quadratic, exponential and logarithmic functions. Prerequisite: MATH 098 or equivalent.

MATH& 107

Math in Society (M) (5)

Designed to enhance math proficiency of liberal arts students as they meet personal and professional demands. Includes mathematics in management, statistics, probability, art, and other practical applications in society. Not preparation for calculus. Prerequisite: MATH 099 or equivalent.

MATH 118

LINEAR ALGEBRA (M) (5)

Computational and modeling tools with applications in physics, mathematics, engineering, economics, and business. Topics include systems of equations, matrix algebra, vector spaces, subspaces, bases, orthogonality, transformations, and eigenvalues. Prerequisite: MATH& 142 or equivalent placement.

MATH& 131

MATH FOR ELEM EDUC 1 (M) (5)

Designed to provide the conceptual framework for teaching
mathematics from kindergarten through eighth grade. Prerequisite: MATH 099 or
equivalent ASSET/COMPASS score.

MATH& 132

MATH FOR
ELEM EDUC 2 (M) (5)

The second of two courses designed to provide the conceptual framework for
teaching mathematics from kindergarten through eighth grade. Prerequisite: MATH&
131.

MATH 135

PRE-CALCULUS REFRESHER (M) (5)

Designed as a refresher course for students who have previously had a Pre-Calculus course. Content includes everything covered in MATH& 141 and 142.

MATH& 141

PRE-CALCULUS (M) (5)

Study of elementary functions (polynomial, rational, exponential, and
logarithmic), systems of equations, matrix algebra, and series and sequences.
Modeling and problem solving techniques are emphasized from a graphic, symbolic,
and numeric perspective. Prequisite: MATH 99 or equivalent placement.

MATH& 142

PRE-CALCULUS II (M) (5)

Topics include graphical, numerical, and symbolic development of the
trigonometric functions and their inverses as defined on the unit circle and
right triangles; identities, equations, and applications; complex numbers, polar
coordinates, parametric equations, vectors, and conic sections. Prerequisite:
MATH& 141 or equivalent placement.

MATH& 146

INTRODUCTION TO STATS (M) (5)

Introduction to concepts of data collection, organization and summaries. Develop
the concepts of mean, median and standard deviation, probability, probability
distributions, and apply these ideas to hypothesis testing, linear regression
and analysis of variance. Prerequisite: MATH 099 or equivalent.

MATH& 148

BUSINESS CALCULUS (M) (5)

An introduction to calculus concepts needed for business applications. Topics discussed are limits, derivative, integrals, and partial derivatives. Business applications are stressed. Prerequisite: MATH 147 or MATH& 141 or equivalent.

MATH&151

CALCULUS I (M) (5)

The first in a three-quarter sequence. Limits, derivatives of algebraic and some
transcendental functions, applications of derivatives, the indefinite integral.
Topics covered from numerical, analytical and graphical viewpoints.
Prerequisite: MATH& 142 or equivalent.

MATH& 152

CALCULUS II (M) (5)

The second in a four-quarter sequence. It covers the calculus of transcendental
functions (exponential, logarithm, inverse circular, hyperbolic), techniques of
integration, sequences, series, and and power series.
Prerequisite: MATH& 151 or equivalent.

MATH 156

CALCULUS I LAB (1)

Analyze concepts from Calculus I using algebra-based computer software. For students currently enrolled in Calculus I or who have instructor permission. Corequisite: MATH& 151.

MATH& 163

CALCULUS III (5)

Third in a four-quarter sequence. Polar coordinates, parametric equations, vectors, and vector fields, the analytic geometry of three-space, partial derivatives, and multiple integrals. Prerequisite: MATH& 152 or equivalent.

MATH 212

ELEMENTARY DIFFERENTIAL EQUATIONS (5)

Linear ordinary differential equations of first and higher orders with emphasis
on supporting concepts of differential operators, Wronskians, characteristic
polynomials, homogeneous and non-homogeneous cases, variation of parameters,
undetermined coefficients. Solution of initial value problems by Laplace
transforms and power series methods. Reference to special cases (exact,
reducible order, simple systems). Prerequisite: MATH& 163 or equivalent.

MATH 228

DISCRETE MATHEMATICS (M) (5)

This class introduces the basic concepts of mathematics that are used in
computer science. Topics covered include logic, mathematical induction,
combintorics, set theory, relations and functions and descriptive statistics.
Prerequisites: MATH 131 or equivalent.

MATH 264

CALCULUS IV (3)

Fourth in a four-quarter sequence. Optimization of 2 and 3 variable functions, Lagrange Multipliers, applications and techniques of multiple integration, Green's Theorem, Stokes Theorem, and line and surface integrals. Prerequisite: MATH& 163 or equivalent.

MATH 350

Managerial Statistics (5)

Statistical analysis techniques will be examined and applied in case studies involving real-world management issues. Students will examine difficulties, subjective decisions, and pitfalls when analyzing data and making inferences from numbers. Prerequisite: QSR math distribution.